Research of the Academic Performance of University Students Through Statistical Models

In this work, there were analyzed some factors, such as demographic variables, study habits, and academic stress, which influence academic performance, especially in students of the faculty of mathematical sciences of a public university. A cross-sectional, descriptive, and explanatory study was used from a statistical approach, which was made up of 311 students. The data were collected during the first semester of 2019 using the academic stress inventory, the vicuna study habits inventory, and the demographic variables, age, gender, professional school, and socioeconomic level; subsequently, the weighted average of the students was obtained. The results show that variables that influence academic performance are: age, professional school, study habits, and the dimension reactions to academic stress and the variables that do not influence performance are: gender, socioeconomic level, level of stress, stressors, and coping strategies for academic stress.